Characterizing the Performance of Concurrent Virtualized Network Functions with OVS-DPDK, FD.IO VPP and SR-IOV

Pitaev, Nikolai; Falkner, Matthias; Leivadeas, Aris; Lambadaris, Ioannis

doi:10.1145/3184407.3184437

Cited by 29 publications

(24 citation statements)

References 4 publications

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“…In another interesting work [14], VPP, OVS and SR-IOV are compared with respect to scalability in the number of VMs on a single host. Other works exist in the area, but a complete state of the art review is out of the scope of this paper.…”

Section: Related Workmentioning

confidence: 99%

On the Use of Kernel Bypass Mechanisms for High-Performance Inter-container Communications

Ara

Abeni

Cucinotta

et al. 2019

Lecture Notes in Computer Science

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Section: Related Workmentioning

confidence: 99%

On the Use of Kernel Bypass Mechanisms for High-Performance Inter-container Communications

Ara

Abeni

Cucinotta

et al. 2019

Lecture Notes in Computer Science

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“…NFs typically require the routine processing of packets involving intense Input/Output (I/O) activities into and out of the compute platform [84]. Since GPC platforms are not fundamentally designed for packet processing, GPC platforms require additional acceleration techniques for effective high-speed packet processing [85].…”

Section: ) Acceleration Of Nfsmentioning

confidence: 99%

“…III-B) with several compression engine instances to achieve concurrent processing. Nitrox acceleration per device achieves 40 Gbps for IPsec, 300K Rivest-Shamir-Adleman (RSA) Operations/second (Ops/s) for 1024 bit keys, and 25 Gbps for GZIP/LZS compression along with support for single root input/output virtualization (SR-IOV) [84], [175] virtualization.…”

Section: ) Cryptography and Compression Accelerator (Cca)mentioning

confidence: 99%

“…Similarly for hypervisors, the overhead of virtualization severely impacts the performance. Virtualization technologies, such as single root and scalable I/O Virtualization (IOV) [84], [175], mitigate the virtualization latency and processing overhead by directly allocating fixed hardware device resources to applications and VMs. That is, applications and VMs are able to directly interact with the I/O devicewithout OS or hypervisor intervention-for data transactions between the I/O device (e.g., NIC) and system memory of the virtualized entity (e.g., VM).…”

Section: G Nf Acceleration Beyond Platforms and Infrastructures 1) Omentioning

confidence: 99%

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Hardware-Accelerated Platforms and Infrastructures for Network Functions: A Survey of Enabling Technologies and Research Studies

2020

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In order to facilitate flexible network service virtualization and migration, network functions (NFs) are increasingly executed by software modules as so-called "softwarized NFs" on General-Purpose Computing (GPC) platforms and infrastructures. GPC platforms are not specifically designed to efficiently execute NFs with their typically intense Input/Output (I/O) demands. Recently, numerous hardwarebased accelerations have been developed to augment GPC platforms and infrastructures, e.g., the central processing unit (CPU) and memory, to efficiently execute NFs. This article comprehensively surveys hardware-accelerated platforms and infrastructures for executing softwarized NFs. This survey covers both commercial products, which we consider to be enabling technologies, as well as relevant research studies. We have organized the survey into the main categories of enabling technologies and research studies on hardware accelerations for the CPU, the memory, and the interconnects (e.g., between CPU and memory), as well as custom and dedicated hardware accelerators (that are embedded on the platforms); furthermore, we survey hardware-accelerated infrastructures that connect GPC platforms to networks (e.g., smart network interface cards). We find that the CPU hardware accelerations have mainly focused on extended instruction sets and CPU clock adjustments, as well as cache coherency. Hardware accelerated interconnects have been developed for on-chip and chip-to-chip connections. Our comprehensive up-to-date survey identifies the main trade-offs and limitations of the existing hardware-accelerated platforms and infrastructures for NFs and outlines directions for future research.

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“…The scalability of various virtual switching solutions with respect to the number of VMs deployed on the same host has been addressed in another recent work (Pitaev et al, 2018), in which VPP and OVS have been compared against SR-IOV. From their evaluations, they concluded that SR-IOV can sustain a greater number of VMs with respect to softwarebased solutions, since the total throughput of the system scales almost linearly with the number of VMs.…”

Section: Related Workmentioning

confidence: 99%

Comparative Evaluation of Kernel Bypass Mechanisms for High-performance Inter-container Communications

Ara

Cucinotta

Abeni

et al. 2020

Proceedings of the 10th International Conference on Cloud Computing and Services Science

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This work presents a framework for evaluating the performance of various virtual switching solutions, each widely adopted on Linux to provide virtual network connectivity to containers in high-performance scenarios, like in Network Function Virtualization (NFV). We present results from the use of this framework for the quantitative comparison of the performance of software-based and hardware-accelerated virtual switches on a real platform with respect to a number of key metrics, namely network throughput, latency and scalability.

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Characterizing the Performance of Concurrent Virtualized Network Functions with OVS-DPDK, FD.IO VPP and SR-IOV

Cited by 29 publications

References 4 publications

On the Use of Kernel Bypass Mechanisms for High-Performance Inter-container Communications

On the Use of Kernel Bypass Mechanisms for High-Performance Inter-container Communications

Hardware-Accelerated Platforms and Infrastructures for Network Functions: A Survey of Enabling Technologies and Research Studies

Comparative Evaluation of Kernel Bypass Mechanisms for High-performance Inter-container Communications

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